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Mean and Variance of Random Variables - Descriptions and Examples of Tranformation Rules
Course Topic(s): Probability | Random Variable
This page provides definitions and formulas for calculating the mean and variance of random variables. Also, it provides several examples of the computation of these values. In addition, the page details linear transformations of random variables and the effects these have on mean and variance. Likewise, the combination of independent random variable is also addressed. Dependent variables are not addressed.
Resource URL: http://www.stat.yale.edu/Courses/1997-98/101/rvmnvar.htm
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Subject classification(s):
Statistics and Probability
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Probability
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Univariate Distributions
Creator(s): Yale University Department of Statistics
Contributor(s): Yale University Department of Statistics
This resource was cataloged by Brandon Hanson
Publisher:Yale University
Resource copyright: Yale University
This review was published on October 10, 2012
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